WHAT YOU’LL DO

Viant is seeking a highly skilled and self-motivated Technical Account Manager to serve as a strategic post-sales thought leader for our most important clients. This role sits at the intersection of technology, measurement, and client strategy, partnering closely with Sales Engineering, Account Management, and product teams to deepen relationships, elevate technical maturity, and accelerate adoption of Viant’s advanced measurement and data solutions. You will play a critical role in scaling strategic accounts post-sale, translating complex technical and measurement capabilities into clear business value, and helping clients fully realize the long-term impact of Viant’s platform.

This role is ideal for someone who thrives as a trusted advisor, enjoys shaping solution strategy, and can influence outcomes across both internal and external stakeholders. The ideal candidate will have a combination of exceptional project management and client service skills, as well as knowledge of the advertising technology landscape. You should have a strong understanding of client service best practices and end-to-end solutions delivery.

THE DAY-TO-DAY

• Serve as a strategic technical thought leader in the post-sale lifecycle, partnering with Account Management to grow adoption, expand use cases, and retain and upsell key accounts.
• Act as a trusted advisor to senior client stakeholders by aligning Viant’s measurement and data solutions to broader business objectives.
• Partner closely with Sales Engineering to ensure continuity of solution strategy from pre-sale handoff through execution and optimization.
• Collaborate with Sales, Business Intelligence, and Operations teams to unblock complex challenges and deliver high-impact solutions for strategic accounts.
• Lead client measurement strategy across Viant Advanced Reporting and third-party measurement solutions to improve insight quality, performance understanding, and ROI.
• Scope and deliver custom reporting solutions that enable advanced analysis, executive-level storytelling, and long-term measurement evolution.
• Develop training materials and documentation to level up internal Sales and Account teams and strengthen post-sale execution.
• Use Google BigQuery SQL to investigate data discrepancies, validate data integrity, and surface actionable insights that inform optimization and decision-making.

GREAT TO HAVE

• 4+ years of experience in Technical Account Management, Account Management, Project Management, Ad Operations, or related roles
• 2+ years experience with Ad Tech platforms such as demand-side platforms (DSPs), data management platforms (DMPs), Customer Data Platform (CDP), and/or clean rooms technology
• Strong understanding of the ad tech ecosystem, including DSPs, ad serving, programmatic buying, onboarding, and measurement
• Ability to clearly articulate complex technical and measurement concepts to both technical and non-technical audiences
• Proficiency in SQL (Google BigQuery preferred) and cloud-based analytics tools
• Strategic mindset with a bias toward action; comfortable operating in ambiguity and influencing without authority

LIFE AT VIANT

Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

#LI-SK1

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Insights & Integrations Consultancy Data Scientist who will be responsible for transforming complex data into clear, business-impactful insights that drive portfolio expansion, retention, and real-world outcomes for fleet operators around the world. This role sits at the intersection of data science, customer consultancy, and sustainability — where your ability to communicate the why behind the data matters as much as the analysis itself. If you love turning data into decisions and have a passion for sustainability and clean transportation — we would love to hear from you!

What you'll do:

As an Insights & Integrations Consultancy Data Scientist, your key area of responsibility will be partnering with strategic accounts to drive ecosystem expansion and retention — not just through technical analysis, but by translating that analysis into business impact that resonates with fleet managers, executives, and non-technical stakeholders. You will develop and maintain deep expertise across the Geotab platform, engaging directly with partners and end-users to optimize their use of Geotab's technology, presenting data-driven insights in ways that clearly demonstrate ROI, cost savings, and efficiency gains. Day-to-day, you will design and deliver Big Data dashboards and analytics tools, maintain Airflow pipelines for continual data analysis using SQL and Python, develop proof of concepts, and solve complex business problems through customer-tailored algorithms and predictive models. You will also represent Geotab as a thought leader at industry events and trade shows — particularly in the areas of fleet electrification and sustainability — and travel quarterly to Canada for team meetings, with additional on-sites at key strategic accounts.

You will work closely with Account and Engagement Managers within Geotab's Sales Channels, the Signature Accounts Team, Product Management, and Solutions Engineering — relationships that are essential to identifying growth opportunities and translating customer feedback into product improvements. To thrive in this role, you will bring an exceptional ability to communicate complex technical concepts to non-technical audiences, a consultative mindset focused on business outcomes over technical jargon, and a genuine passion for sustainability and the electrification of commercial fleets.

How you'll make an impact:

• Develop and maintain comprehensive knowledge of the Geotab ecosystem, serving as a Subject Matter Expert (SME) to empower end-users and partners and enhance their understanding of Geotab solutions.

• Engage and collaborate with partners and end-users to optimize their utilization of Geotab's technology, products, and solutions, tailoring the approach to meet their specific needs.

• Contribute to the continuous improvement of the company's offerings by providing partner and end-user feedback, providing opportunities to collaborate with Product Management teams.

• Create and optimize data-driven dashboards for cross-functional use, facilitating informed decision-making and efficient collaboration with a focus on expansion and retention of existing customers.

• Ensure partner and end-user satisfaction through prompt and accurate service, bolstering internal team support by providing additional insights and know-how.

• Collaborate with the Geotab revenue generating teams to identify and deliver effective solutions for customer challenges, by working closely with them and their partners, contributing to sales growth, ecosystem expansion and customer retention.

• Support Geotab's partner upskilling, driving them towards excellence to support customers across unique channels, using best practices, and leveraging a deep understanding of industry verticals.

• May be involved in developing and implementing proof of concepts. This involves creating a small-scale version of the solution to demonstrate its feasibility and effectiveness in the customer's environment.

• Staying updated with industry trends, competitor products, and market demands is crucial. Need to understand the broader landscape in which Geotab operates to position their solutions effectively.

• Keep accurate records of customer interactions, solution designs, and outcomes is important. This helps in creating case studies, improving processes, and maintaining a repository of successful solutions for reference.

• Deliver compelling technical presentations and demonstrations to customers. They showcase the features and benefits of the product or service, highlighting how it solves the customer's problems.

• Work closely with the sales team and fellow engineers throughout the sales cycle as needed. Provide technical support, answer technical questions, and address concerns that potential customers may have in regards to their area of subject matter expertise.

• Based on customer requirements, design customized solutions or configurations using the company's products. They create proposals and presentations that outline how the solution meets the customer's needs, often through demonstrations or prototypes.

• Even before a sale is made, may assist with technical inquiries from potential customers. This could involve explaining technical details, providing documentation, or guiding customers on how to integrate the solution into their existing systems when expertise beyond the general area is required.

• Solve complex business problems by providing analytics or analytics-based consulting, including customer-tailored algorithms and predictive models, under guidance or mentorship.

• Maintain airflow pipelines for continual data analysis combining SQL queries and python scripts.

• Design, maintain and deliver Big Data dashboards and tools; document stakeholder requirements, resolve issues, and fulfill change requests.

What you'll bring to this role:

• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field; equivalent combination of education and/or work experience may be substituted.

• 3–5 years of experience in a relevant customer-facing technical role, including Solutions Engineering, Sales Engineering, Integration Engineering, Engineering Support, Software Development, Data Science, or Technical Account Management.

• 1–3 years of hands-on experience with SQL (Google BigQuery preferred) and data science tools (Python, pandas, numpy preferred).

• Experience working with large data environments and demonstrated ability to extract value from very large datasets, including data modeling and data warehouse concepts.

• Data visualization skills, particularly in dashboarding platforms such as Power BI or Tableau.

• Technical knowledge of telematics, IoT, APIs, and related technologies; working knowledge of hardware integrations is a bonus.

• Strong communication and presentation skills, with the ability to articulate complex concepts to both technical and non-technical audiences, and to collaborate effectively across cross-functional teams.

• Effective problem-solving and critical thinking abilities, with the capacity to assess customer challenges and propose viable solutions.

• A customer-focused mindset with strong time management and organizational skills; able to manage multiple projects and priorities simultaneously.

• Desire to stay current with emerging technology and the flexibility to adapt to growing market demands.

• Ability to travel up to 20% of the time internationally; valid passport required.

Why job seekers choose Geotab:

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader — we would love to hear from you! 

What you'll do:

As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab’s data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact

• Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
• Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure.
• Develop processes to enrich Geotab’s big data with telematics data at scale.
• Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
• Create and maintain documentation for architecture, requirements, and process flows.
• Support internal Geotab teams to assist with data integration with newly developed AI platforms.

What you'll bring to the role

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an SRE Observability Architect who will define the strategic vision, technical architecture, and engineering standards for observability across the organization's cloud platforms. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As an SRE Observability Architect, your key area of responsibility will be defining the foundational observability architecture that enables scalable, cost-efficient, and highly reliable insight into distributed systems while leading the design of next-generation observability platforms. You will need to work closely with SRE, platform engineering, and application development teams, as well as align with security and compliance stakeholders. 

To be successful in this role, you will be a strong analytical and systems thinker with the ability to navigate complex, ambiguous technical challenges and articulate technical architecture to executive audiences. In addition, the successful candidate will have deep expertise in designing enterprise-scale observability platforms and the ability to influence and drive technical direction across multiple teams and organizational boundaries.

How you'll make an impact:

• Define and own the enterprise-wide observability architecture, establishing technical standards, reference architectures, and multi-year roadmaps.

• Evaluate, select, and standardize observability tooling (e.g., Grafana, Prometheus, VictoriaMetrics, Tempo, Loki, Elastic Stack, OpenTelemetry) to reduce tool sprawl and optimize total cost of ownership.

• Design scalable data pipelines and storage strategies capable of ingesting and querying petabyte-scale telemetry data across metrics, traces, logs, and continuous profiling.

• Design Terraform modules and Helm charts for declarative observability infrastructure provisioning across multi-cloud environments.

• Establish and enforce instrumentation standards using the OpenTelemetry framework, including SDK guidelines, collector deployment patterns, and semantic conventions.

• Define and champion SLO/SLI/error-budget frameworks across engineering teams, providing architectural guidance on service-level objective implementation.

• Serve as a senior escalation point during critical incidents, leveraging deep observability expertise to accelerate diagnosis and resolution.

• Provide architectural mentorship and technical guidance to Observability Engineers and SRE team members.

What you'll bring to the role:

• 5-8 years of experience in Observability Architecture, Site Reliability Engineering (SRE), or Platform/Infrastructure Engineering.

• Post-secondary Diploma/Degree in Engineering, Computer Science, or a related field.

• Mastery of the OpenTelemetry ecosystem and expert-level knowledge of Prometheus-compatible metrics systems (VictoriaMetrics, Thanos, etc.).

• Advanced experience with tracing systems (Grafana Tempo, Jaeger) and log aggregation platforms (Loki, Elasticsearch, Google BigQuery).

• Expert-level proficiency in cloud infrastructure (GCP strongly preferred) and Kubernetes architecture.

• Strong software engineering skills in Go, Python, or similar languages for building cloud-native tooling.

• Excellent communication skills with the ability to influence technical direction across organizational boundaries.

• Preferred certifications: Google Cloud Professional Cloud Architect or Certified Kubernetes Administrator (CKA).

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Operations Developer who will be responsible for the development of scalable and reusable pipelines that minimize time from insight to production. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you! 

What you'll do:

As a Data Operations Developer, your key area of responsibility will be designing, building, and optimizing automated end-to-end data pipelines (ETL/ELT) while ensuring data quality and governance. You will be responsible for the implementation of the project tasks, as well as managing day-to-day activities. You will also need to provide regular status reports to key partners to ensure the project is on time and meeting expectations. You will need to work closely with Product groups including data analysts, data scientists, and stakeholders of internal business applications. 

How you'll make an impact:

• Data Pipeline Development & Optimization: Design and build automated ETL/ELT processes using tools like Apache Airflow to extract, transform, and load data into Google BigQuery or data lakes.
• Orchestration and Automation: Automate repetitive tasks within Apache Airflow, such as data ingestion and quality checks, to improve organizational efficiency.
• Performance Optimization: Continually monitor and optimize the performance and reliability of data pipelines to handle growing data volumes.
• Data Quality & Governance: Build automated tests and validation rules to identify and fix data issues, ensuring all data processes comply with regulations and standards.
• Release Management: Coordinate with development and operations teams to manage the smooth deployment of new or updated pipelines using robust version control. Collaboration & Support: Work cross-functionally to understand data needs and provide troubleshooting support to resolve data-related issues in a timely manner.
• On-Call Support: Participate in a 24x7 on-call rotating schedule as required to ensure pipeline reliability.

What you'll bring to the role:

Why job seekers choose Geotab:

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle.

This is a full-time, remote position based in US with strong preference for Central and East Coast timezones.

Technologies You’ll Use

AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python

What You’ll Do

• Work with Enterprise customers to understand their business, their use cases, and their data replication requirements

• Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan

• Develop and deliver technical presentations to Enterprise audiences

• Ensure the technical win by running a tight proof-of-value process

• Work closely with Fivetran’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs

• Develop and maintain relationships with key Enterprise customers and partners

• Stay up-to-date on the latest technologies and trends in our industry

Skills We’re Looking For

• 5+ years in data replication, sales engineering, or related technical field

• Proven ability to work cross-functionally to support large enterprise customers

• Strong technical background covering database replication, cloud infrastructure, and data replication technologies

• Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools

• Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders

• Strong problem-solving and analytical skills

Bonus Skills

• Experience with Oracle, SQL Server & SAP databases

• Hands on experience with other data replication or ETL tools

• Experience with self-hosted software applications and supporting infrastructure

• Hands on networking experience both in the cloud and on-premise

This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings.

As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process.

#LI-REMOTE #LI-MT2

Hi, we're Oscar. We're hiring a Senior Analyst to join our Authorization Services Design and Configuration team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

You will be the architect of our medical management operations. In this role, you will design, configure, and optimize the workflows and business rules within our Utilization Management (UM) system to ensure seamless authorization processing. You will translate complex business requirements into automated logic, handle internal escalations to identify root causes and remediation pathways, and act as a subject matter expert to educate cross-functional partners on how our systems drive care decisions.

This is a technical and operational role that requires a systems thinker with a collaborative mindset who enjoys solving complex, systems level problems.

You will report into the Associate Director of Authorization Services.

Work Location: This is a remote position, open to candidates who reside in: Atlanta, Georgia. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $67,813 - $89,004 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Manage the configuration and maintenance of authorization workflows, rulesets, and automations within the UM platform.
• Translate business requirements into precise technical specifications, ensuring that business rules and logic are accurately represented, tested, and implemented.
• Investigate and resolve cross-functional escalations by performing root cause analysis on system behavior and configuration gaps.
• Proactively identify "friction points" in the authorization process and document formal opportunities for workflow improvement and automation.
• Act as the primary subject matter expert for the UM system, educating internal teams (Product, Clinical, Regulatory) on how configuration impacts operations and supports business needs.
• Develop testing protocols and execute test scenarios to validate expected system behavior and configuration accuracy. Lead corrective activities when system behavior deviates from expectations.
• Manage assigned caseloads and project tasks through effective dashboard management and prioritization.
• Maintain clear, comprehensive documentation of all business rules, technical specs, and workflow designs.
• Other duties as assigned

Requirements:

• 2+ years of experience in system configuration, business rules management, or technical workflow design.
• 2+ years of experience in a technical/operational role involving root-cause analysis and data troubleshooting.
• Intermediate to Advanced proficiency in Excel/Google Sheets (vlookups, pivot tables, and data manipulation).
• Proven ability to assess and comprehend end-to-end process impacts in complex technical environments.
• Strong communication skills with the ability to explain technical system logic to non-technical stakeholders.
• 1+ year working knowledge of within the healthcare industry (payer or provider).

Bonus points:

• Prior work experience in Prior Authorizations or Insurance Operations.
• 2+ years of proficiency in SQL, BigQuery, or similar database languages.
• Experience using project management and communication tools like JIRA, Linear, and Slack.
• Experience working with large datasets, data verification, and data management.

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. 

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.

What you bring:

• 2–5 years of professional experience in data science or advanced marketing analytics. We value a background that combines marketing domain expertise with technical data science rigor.
• Strong command of R and/or Python for data manipulation and statistical analysis.
• Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design. Familiarity with causal inference methods is a significant plus.
• Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs. 
• Bonus Points: Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
• Bonus Points: Exceptional "data-to-story" skills—the ability to explain the "so what" behind a coefficient or a p-value.
• Bonus Points: Adobe Analytics 

What you’ll be doing:

• Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
• Assist in designing and executing reporting, analytics, and optimization briefs.
• Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
• Perform analysis to uncover actionable insights and develop data-driven recommendations
• Present findings to internal and client stakeholders in a clear, business-focused way.

What you’ll need to accomplish in your first year:

• Contribute consistently to the experimentation backlog through research, structured hypothesis development, and KPI alignment.
• Deliver clear, actionable insights from analysis and test results that help clients make confident, data-driven decisions.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

Hi, we're Oscar. We're hiring a Manager, Pricing Strategy to join our FP&A team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Manager, Pricing Strategy will manage competitive healthcare portfolio strategies. You must be familiar with advanced financial modeling, using market analytics, and partnering cross-functionally to guide executive pricing decisions. Experience delivering business intelligence that optimizes profitability, informs company-wide strategy, and drives long-term organizational growth.

You will report into the Senior Director, Strategic Finance & Corporate Development.

Work Location: 
This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $111,034 - $145,733 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

• Craft recommendations using a data-driven approach combined with business intuition for senior executives to make pricing decisions that affect our growth and bottom-line
• Build models and tooling that produce relevant business insights, including competitive intelligence insights and scenario modeling
• Collaborate with Actuarial, Regional Leaders, Plan Design and Sales teams to develop portfolio strategy for each Oscar market
• Identify and research profitability tradeoffs, market trends, and membership insights to help build company-wide strategic decisions
• Source, organize, and analyze data to support all strategic programs in the team
• Monitor important metrics and identify emerging trends around the ACA landscape for leadership to help quickly inform tactics during selling season
• Report intra-year membership analytics to leadership to understand health of the business
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• Bachelor's degree in Finance, Economics, or Actuarial or equivalent work experience
• 5 + years of finance experience including experience in Healthcare, Consulting, Insurance or Financial Services
• 4+ years of experience with google products - Sheets, Docs and Slides or Microsoft products.
• 4+ years of experience working with C-level executives.

Bonus points:

• MBA in finance, MS in Financial Analysis
• Experience in the managed care, healthcare or insurance
• Proficiency in SQL/BigQuery to analyze large datasets
• Proficiency working with NetSuite and Adaptive

About the Opportunity

As a Senior Machine Learning Engineer, you will bring your expertise in machine learning and data science to help the team move faster and achieve critical revenue goals for Keebo. You will work closely with ML engineers and data engineers to evaluate algorithmic and business problems and apply your machine learning and software engineering skills to build reliable, repeatable models that run in production with high quality.

You Will

• Research, implement, and tune cutting-edge RL/ML models to achieve critical business outcomes
• Design and implement AI/ML models that balance quality, speed, and cost
• Collaborate with the rest of the Algorithms team to achieve goals that drastically impact the revenue of the business
• Build repeatable, reliable pathways for promoting ML models from development to production

You Have

• Experience as a machine learning engineer, working on real-world problems impacting live customers
• Experience developing ML models end to end and deploying into production environments
• Experience building and maintaining scalable, reliable, and safe ML models that directly impact customers’ experience
• Experience implementing AI/ML models that balance quality, speed, and cost
• Experience automatically monitoring the quality and effectiveness of ML/AI models from local dev through to production
• Experience with SQL, data analysis, and databases
• Experience with Python, and strong track record of writing readable, maintainable production code
• Experience with GCP or AWS
• Skilled in being self-directed and moving quickly to build and improve systems and architectures
• Ability to work in a fast-paced early stage startup
• Skilled at communicating effectively in a distributed environment with people across multiple time zones
• Strong self-motivation, initiative, and adaptability
• Familiarity with reinforcement learning or bandit models

Nice to Have

• Experience with Java and Golang
• Experience with Reinforcement Learning
• Experience with Google Cloud and BigQuery

Our Environment

Keebo is a fully remote, global team with team members currently in the US, EU, and Canada.

Data Architect – Inspire11 
 

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day.  

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

What you can expect in this role:
As a Data Architect, you will design the technical backbone of our clients’ data ecosystems—enabling scalable analytics, AI, and automation. You’ll lead the architecture of modern data platforms, shape technical strategy, and ensure secure, reliable delivery across complex environments. 

• Design and implement cloud-native data architectures across AWS, Azure, GCP, and Databricks to support advanced analytics and AI solutions.
• Lead the architecture of end-to-end ELT/ETL pipelines using SQL and Python, connecting structured and unstructured data sources into unified models.
• Build and optimize enterprise data platforms, including data lakes, warehouses (Snowflake, Redshift, Synapse, BigQuery), and semantic/dimensional models.
• Ensure data privacy, security, and compliance, incorporating masking, tokenization, retention policies, and metadata-driven governance frameworks.
• Implement infrastructure-as-code, CI/CD pipelines, and testing frameworks to drive scalable, automated, and resilient deployments.
• Conduct deep data profiling and validation, shaping architectural decisions based on source quality, lineage, and business context.
• Translate business needs into scalable designs, using source-to-target mappings, conceptual wireframes, and technical documentation.
• Identify opportunities to integrate AI and machine learning, leveraging practical use cases such as intelligent data quality, metadata automation, and ML feature stores.
• Support client engagement and pre-sales, presenting architectural strategies, influencing decisions, and mentoring delivery teams. 

Tools for success:
The ideal candidate combines deep technical expertise with a strategic mindset and the ability to lead clients and teams through complex transformations. You should bring: 

• 8+ years of experience in data architecture, data engineering, or enterprise cloud platform design.
• Advanced proficiency in SQL and Python, with hands-on experience building scalable ELT/ETL solutions.
• Deep familiarity with cloud data platforms, including Snowflake, Databricks, Redshift, Synapse, BigQuery, and related tools.
• Expertise in data modeling (relational, dimensional/star schema), metadata management, and performance optimization.
• Strong understanding of DevOps and infrastructure-as-code, including Git, Terraform, CI/CD pipelines, and automated testing.
• Working knowledge of AI/ML, with the ability to identify where intelligent automation or predictive modeling can enhance architectural solutions.
• Excellent communication and consulting skills, with the ability to explain complex technical designs to non-technical stakeholders.
• Proven leadership in technical strategy, solution design, and team mentorship in a dynamic consulting environment.
• This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.